QLoRA 4bit Quantization for memory efficient fine-tuning of LLMs explained in detailed. 4-bit quantization QLoRA for beginners, theory and code. PEFT - parameter efficient fine-tuning methods.

Based on my first videos on the theory of LoRA and other PEFT methods (   • PEFT LoRA Explained in Detail - Fine-...  ) and the detailed code implementation of LoRA in my video (   • Boost Fine-Tuning Performance of LLM:...  ) now my third video on 4-bit quantization and QLoRA.

An additional Colab NB with code to fine-tune FALCON 7B with QLoRA 4-bit quantization and Transformer Reinforcement Learning (TLR).

Huggingface Accelerate now supports 4-bit QLoRA LLM models.
https://github.com/huggingface/accele...

QLoRA 4-bit Colab NB:
(all rights with Author Artidoro Pagnoni)
https://colab.research.google.com/dri...

#4bit
#4bits
#quantization
#languagemodel
#largelanguagemodels